• Non ci sono risultati.

Cost estimation model in early stage of design through implant miniplate complexity process index

N/A
N/A
Protected

Academic year: 2021

Condividi "Cost estimation model in early stage of design through implant miniplate complexity process index"

Copied!
4
0
0

Testo completo

(1)

*Corresponding author: hendri@eng.ui.ac.id, marthan.lassandy@ui.ac.id

Cost estimation model in early stage of design through implant

miniplate complexity process index

Hendri D.S. Budiono1, and Marthan Lassandy1

1Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia,Depok 16424, Jawa Barat, Indonesia

Abstract. Manufacturing is an activity of processing raw materials into semi-finished or finished products. In addition to manufacturing process, the industry needs product design, material selection, material distribution to create a product. A product produced from a manufacturing system has an index of product complexity that illustrates that the product is made with a certain degree of complexity. The process done on the production of miniplate implants is the process of forming an outside profile, slicing process, the hole process, micro finishing, and ultrasonic cleaning. Quantitative methods used are feature-based cost, operation-based cost, and breakdown approach. Feature operation-based cost consists of cost by feature, that is the cost outside profile, slicing process, the hole process, micro finishing, and ultrasonic cleaning costs. Operation based cost consists of set up, operation, and unloading costs. Breakdown approach consists of cost set tool, set workpiece, and programming on set up, operator cost, material, overhead, energy, and tool, unloading cost consists of release tool cost and release workpiece. Process complexity of the miniplate implant manufacturing process in the early stage of the design can be done with the help of Siemens Nx 8 software as a timing guide with the same parameters and has been tested for the correlation. The process complexity index of the miniplate implant manufacturing process is 100.08 and the estimated process cost of the miniplate implant manufacturing process using a combined analytical technique is IDR 139.150,94.

1 Introduction

Manufacturing is an activity of processing raw materials into semi-finished or finished products. In addition to manufacturing process, the industry needs product design, material selection, material distribution processes to create a product. A product produced from a manufacturing system has an index of product complexity that illustrates that the product is made with a certain degree of complexity. Design and manufacturing activities are generally integrated, from the drawing process, the delivery of images to the production department, the selection of manufacturing processes and materials used, and the latter continuing in the production process. It can be seen from Figure 1 that the design of the product itself has a big role because the decisions made in the design process before the detailed design can affect 70-80% of the cost of developing and manufacturing the product [1].

The methodology was established to produce a measure of product complexity that could be extended to cover multiple sides of process complexity, as shown in Figure 2 [2].

Fig. 1. Design Concept [1]

Fig. 2.Process Complexity[2]

Process complexity is a function of product design, volume requirements, and work environment. The E3S Web of Conferences 67, 01030 (2018) https://doi.org/10.1051/e3sconf/20186701030 3rd i-TREC 2018

(2)

Title of the conference complexity of a process is a combination of several

elements such as environment, product, and capacity. Based on the complexity, the process can include process design, process specifications, and some components of a process.

Cost estimating has a direct relationship with the performance and effectiveness of business firms because over estimation can result in business losses in the market, and also under estimation can cause financial losses to the company. As a result, an important research effort has evolved in the exploring design implications, new techniques, and methods to produce accurate and consistent cost estimates not only to produce optimum design solutions but also to obtain maximum cost satisfaction at low cost, good quality, and time delivery [3].

Fig.3.Product Cost Estimation Techniques [4]

.

Cost estimating is critical for the manufacturing industry. Estimated manufacturing costs in the early design phase are important for industrial engineers. The cost information of a product should be immediately provided to the product designer. Since the process plan is set and production is in progress, the cost changes to the design and process plan will outweigh the cost of production for the current design [5]. The aim of the research is to estimate the cost in early stage of design through the complexity process index.

2 Methods

2.1. Main Design

Initial designs were designed to perform the miniplate implant manufacturing process. According to the design, it is expected to be the same specifications as the properties and processes of titanium material.[5] Figure 6 shows the implant miniplate product that has been produced.[6].

Figure 4 shows a miniplate implant and the dimension that must be known to proceed to the analysis phase of process complexity and cost. There are 5 stages process to generate a miniplate implant as presented in figure 5.

2.2 Steps

The implementation is calculating machining cost calculations with machining time obtained from equation model into machine process cost to process complexity through standard used.

Fig 4.(a). Implant Miniplate, (b). Biomedical Implant

Miniplate Dimension

Fig 5.(a) Outside Profile Forming, (b) Slicing Process, (c)

Hole Process (d) Microfinishing, (e)Ultrasonic Cleaning 1. Regarding the complexity of the machining process:

[7]

a. Feature dimension must be ensured to be within the group and dimension under study. [8]

b. Physical parameters are calculated based on the components used to perform a process stage. c. Perform shape weighting, geometry, and tolerance

in a process stage.

d. Determine the process complexity of a process, which are set up, operational, and unloading at each stage.

2. Time is used to determine the production time of one unit of product type data in one process cycle. Time for each section is used to calculate the cost of production from one process unit to one product unit. 3. Related to cost calculation: [9]

a. Local standard fees are used in calculations, such as operator/hour costs, costs due to the cost of electricity use on machines, machine power, machine prices used in accordance with existing data in the industry.

b. Cost data and tool life and raw material prices of standard materials used.

c. Grouping the steps of the miniplate implants process based on the quantitative method used. The methodsused are Operational Based Approach, Breakdown Approach, and Featured Based Approach.

4. Implementation of early design model is only on profile process using wirecut EDM. This

2

(3)

Title of the conference implementation phase uses the Siemens Nx 8 to

determine the time on various dimensions and SPSS to show the correlation. Siemens Nx 8 is one of CAM software that can simulate wirecut CNC machining and the default parameters on actual machine are availaible on. SPSS is an application to perform statistical analysis. There are 2 variables, actual data and software data which must be correlated.

2.3 Results

The calculation of the total machinery implants of miniplate implants is calculated by summing up all direct costs and indirect costs. This calculation is obtained by converting machining time into direct labor cost calculation, energy cost, and overhead cost using

predefined standard. Table 1 shows all of the results of process time, complexity, cost.

Table1.Time-Complexity-Cost

No. Process (second) Complexity Time (IDR) Cost 1. Outside Profile Forming Operational Set Up 903,5 246 12,9 3,5 7304,17 8290,85

Unloading 442 5,03 3683,3 2. Slicing Process Operational Set Up 706,3 113 3,52 6,4 3385,83 5613,97

Unloading 234,4 8,84 1953,33 3. Hole Process Operational Set Up 882 254 13,32 3,5 23762,99 7350

Unloading 264 8,41 2200 4. Microfinishing, Operational Set Up 3600 81 6,51 2,42 63333,56 675

Unloading 113 7,08 941,67 5. UltrasonicCleaning Operational Set Up 180 46 2,86 8,9 8172,88 383,33

Unloading 252 6,89 2100

Table2.Quantitative Method Comparison

Featured Based Operation Based Approach Breakdown Approach Featured Based Operation Based Approach Breakdown Approach

Process (IDR) Cost Process (IDR) Cost Item (IDR) Cost Process (IDR) Cost Process (IDR) Cost Item (IDR) Cost

Outside profile forming 19278,3 6 Set Up 7304,17 Set Tool 1666,67 Micro finishing 64950,23

Set Up 675 Set Tool 191,7 Set

Workpiece 4766,67 Workpiece Set 483,3 Programmin g 870,83 Operational 63333,56 Operator 30000 Operationa l 8290,85 Operator 2050 Overhead 0,23 Material 1277,84 Tool 33333,33 Overhead 1355,01 Unloading 941,67 Release Tool 733,33 Energy 943 Release Workpiece 208,34 Tool 2665

Unloading 3683,3 Workpiece Release 3683,33

Slicing process 10953,13 Set Up 3385,83 Set Workpiece 2765 Ultra sonic Cleaning 10.656,2 Set Up 383,33 Set Tool 150 Programmin g 620,83 Workpiece Set 175 Operationa l 5613,97 Operator 850 Programming 58,33 Overhead 3267,97 Operational 8172,88 Operator 1500 Energy 391 Overhead 2,76 Tool 1105 Energy 3,45 Unloading 1953,33

Release Tool 1023,33 Tool 6666,67

Release Workpiece 930 Unloading 2100 Release Tool 900 Release Workpiece 1200 Hole process 33312,9 Set Up 7350

Set Tool 1941,7 Total Cost : 139.150,94 Set Workpiece 4200 Programmin g 1183,3 Operationa l 23762,9 9 Operator 1808,33 Overhead 1536,09 Energy 831,83 Tool 19586,72 Unloading 2200 Release Tool Release 1008,3 Workpiece 1191,7

There are five processes as previously mentioned to the production of miniplate implants. In each process has three important stages of set up, operational, and unloading. Time is the length of the process that is lived in one stage. Complexity is to explain the complexity index of related processes. Cost is the cost required to work on one such process.Set up on the slicing process tends to be smaller because there is no setting tool, because the tool used is still the same as the previous process that is outside profile forming. Operations in the

three processes of outside profile forming, hole process, and microfinishing have a high cost because the raw material price and tool variables are placed in the process. The tool used is self-produced electrodes.

Table 1 explains the results of time, complexity, and cost of the stages those shown on figure 5.The processes are in the position of operation based cost method which has element set up, operation, and unloading. Table 2 explains how to use the selected quantitative method of feature based cost, operation based cost, and breakdown

3

(4)

approach cost on the production of miniplate implants. Users can choose which costs are needed quickly and accurately to the required process. The total cost required is IDR 139.150,94. Users who want to use one or two processes just add up the two processes.

Table 3. Actual Data vs. Siemens Nx Data on Outside

profile forming

No Perimeter Feed Rate Actual Data Software Data

1 37,78 13 mm/min 235 209 2 39,03 240 214 3 40,28 246 219 4 41,53 252 224 5 42,79 257 229 6 44,04 263 234 7 45,28 268 239 8 46,52 274 244

Fig 6. Correlation Result Using Software SPSS

Figure 6 explains the results of the implementation in the case study compared to other products calculated using Siemens Nx 8 which resulted in a linear time. The machining time is strongly influenced by the perimeter or the distance of the cutting tool path. [10] The calculation model of process complexity can result in the value of complexity due to dimensional changes through the perimeter or the distance of the cutting tool path.

Conclusion

The process done in the production of miniplate implants is the process of forming an outside profile, slicing process, the hole process, micro finishing, and ultrasonic cleaning. The process complexity index of the miniplate implant manufacturing process is 100.08 and the estimated process cost of the miniplate implant manufacturing process using a combined analytical technique is IDR 139.150,94.

Quantitative methods used are feature-based cost, operation-based cost, and breakdown approach. Feature based cost consists of cost by feature that is the costs of set tool, set workpiece, and programming on set up, operator, material, overhead, energy, and tool. Unloading cost consists of release tool cost and release workpiece

cost. The process and process complexity of the miniplate implant manufacturing process in the early stages of the design can be done with the help of Siemens Nx 8 software as a timing guide with the same parameters has been tested for the correlation.

References

1. Budiono, H.D., G. Kiswanto, And T.P. Soemardi, Method And Model Development For Manufacturing Cost Estimation During The Early Design Phase Related To The Complexity Of The Machining Processes. International Journal Of Technology, 2014. 5(2): P. 183-192.

2. El Maraghy, W. And R. Urbanic, Assessment Of Manufacturing Operational Complexity. Cirp Annals-Manufacturing Technology, 2004. 53(1): P. 401-406. 3. Shehab, E. And H. Abdalla, Manufacturing Cost

Modelling For Concurrent Product Development. Robotics And Computer-Integrated Manufacturing, 2001. 17(4): P. 341-353.

4. Niazi, A., Et Al., Product Cost Estimation: Technique Classification And Methodology Review. Journal Of Manufacturing Science And Engineering, 2006. 128(2): P. 563-575.

5. Geetha, M., Et Al., Ti Based Biomaterials, The Ultimate Choice For Orthopaedic Implants–A Review. Progress In Materials Science, 2009. 54(3): P. 397-425.

6. Qosim, N., Et Al., Development Of Ti-6al-4v Based-Miniplate Manufactured By Electrical Discharge Machining As Maxillofacial Implant. Journal Of Fundamental And Applied Sciences, 2018. 10(3s): P. 765-775.

7. Lassandy, M., Et Al., Calculation Of The CNC EDM Complexity Process For Biomedical Implants. Journal Of Fundamental And Applied Sciences, 2018. 10(5s): P. 819-830.

8. Jung, J.-Y., Manufacturing Cost Estimation For Machined Parts Based On Manufacturing Features. Journal Of Intelligent Manufacturing, 2002. 13(4): P. 227-238.

9. Ou-Yang, C. And T. Lin, Developing An Integrated Framework For Feature-Based Early Manufacturing Cost Estimation. The International Journal Of Advanced Manufacturing Technology, 1997. 13(9): P. 618-629.

10. Prosiding Snatika (Seminar Nasional Teknologi, Informasi, Komunikasi dan Aplikasinya) Vol 4 (2017).

4

Riferimenti

Documenti correlati

Nel calcolo degli impulsi, i cui risultati sono presentati alla fine del capitolo, sono stati presi in considerazione anche gli angoli di traiettoria, fermo restando che

Notably, local production of APRIL was not exclusive of MALT lympho- mas, because numerous CD11c ⫹ APRIL ⫹ cells were observed also in cases of HP-negative gastric diffuse large

More precisely, we prove that terms of orthogonal term rewriting systems can be reduced to their normal form in time polynomially related to their derivational complexity, both

www.bollettinoadapt.it 2 Tra i parametri più impattanti nel processo, riconducibili alle categorie sopra richiamate, abbiamo la gestione delle tasse e degli oneri

By sharing a questionnaire with all of our payroll experts globally and by conducting online interviews among a sample of local HR experts with deep payroll expertise, we

To introduce the fundamentals of software costing and pricing To describe three metrics for software productivity assessment To explain why different techniques should be used

Scopo dello studio è indagare le differenze comportamentali e le attivazioni neurali sottostanti i processi decisionali spinti da un principio di punizione altruistica